Prof. Christopher Strickland
I am an Assistant Professor in the Mathematics Department with an adjunct appointment in the Department of Ecology and Evolutionary Biology at the University of Tennessee, Knoxville. My primary interest is in mathematical ecology - more specifically, modeling and analyzing complex systems in ecology and substance use epidemiology. Before coming to UTK, I was a postdoc in applied mathematics at the University of North Carolina, Chapel Hill and SAMSI (the Statistical and Applied Mathematical Sciences Institute) focusing on computational biomathematics and mathematical ecology.
I utilize a diverse range of tools from applied mathematics, including mathematical modeling, dynamical systems, statistical inference, and scientific computing, and my research typically involves close interdisciplinary collaboration. I have particular interest in bringing mathematical methods to the field of organismal ecology, especially in the context of behavior, dispersal, and social interaction. Specific, current interests include addiction epidemiology, agent-based modeling approaches to the study of collective behavior (on land and in fluid flow around immersed structures), and novel models in population ecology.
We develop and analyze some of the first compartmental models for the opioid epidemic. Key results include a mathematical condition for the eradication of widespread addiction, compelling evidence which points toward particular control strategies and allocation of resources, and prediction of the epidemic's trajectory over the next few years.
Using a new mathematical model for parasitoid wasp spread, I have developed CUDA powered software in Python that will provide meter-scale resolution results over an area nearly 20 km^2 in size. Bayesian inference is used to fit the parameters to field data.
Joint Mathematics Meetings: Denver, CO
Agent-based and Continuous Models of Locust Hopper Bands
AMS Fall Southeastern Sectional Meeting
Modeling the prescription opioid epidemic